Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference55 articles.
1. Ahn, N., Kang, B., & Sohn, K.-A. (2018). Fast, accurate, and lightweight super-resolution with cascading residual network. In Proceedings of the European conference on computer vision (pp. 252–268).
2. Self-supervised cycle-consistent learning for scale-arbitrary real-world single image super-resolution;Chen;Expert Systems with Applications,2023
3. Cross parallax attention network for stereo image super-resolution;Chen;IEEE Transactions on Multimedia,2022
4. Dai, Q., Li, J., Yi, Q., Fang, F., & Zhang, G. (2021). Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation. In Proceedings of the ACM international conference on multimedia (pp. 1985—1993).
5. Image super-resolution using deep convolutional networks;Dong;IEEE Transactions on Pattern Analysis and Machine Intelligence,2016
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献